AI Architect – Azure/AWS/Google | TCS Careers, Chennai
Job Description
Summary
Tata Consultancy Services (TCS) is hiring a highly skilled AI Architect – Azure/AWS/Google in Chennai, with expertise in artificial intelligence (AI), machine learning (ML), cloud computing, and enterprise AI integration. The ideal candidate will lead AI system design, microservices integration, secure AI deployment, and Generative AI initiatives, helping TCS deliver cutting-edge AI/ML solutions across multiple industries. This role combines hands-on technical leadership, cloud architecture experience, and knowledge of emerging AI trends, making it ideal for professionals aiming to shape next-generation AI platforms.
Job Details at a Glance
| Title | AI Architect – Azure/AWS/Google |
|---|---|
| Company | Tata Consultancy Services (TCS) |
| Location | Chennai, India (also Pune & Bangalore) |
| Experience | 10 – 16 years |
| Shift | Day Shift |
| Function | Technology |
| Role | Developer |
| Apply By | 31-Dec-2025 |
Key Responsibilities
1. AI/ML Architecture & Design
- Lead AI system design and enterprise AI integration across cloud platforms (Azure, AWS, Google Cloud).
- Develop microservices-based AI architectures, including APIs for scalable AI deployments.
- Implement responsible AI practices and ensure secure, compliant AI solutions.
- Drive adoption of Generative AI technologies to enhance enterprise solutions.
2. Cloud & MLOps
- Architect AI/ML pipelines in cloud environments, ensuring efficient, reliable, and scalable deployments.
- Oversee MLOps practices, including model versioning, deployment, monitoring, and governance.
- Optimize cloud infrastructure for AI workloads, focusing on cost, performance, and security.
3. Emerging Technologies & Innovation
- Stay updated on emerging AI/ML technologies, industry trends, and best practices.
- Collaborate with internal teams to evaluate and integrate new AI frameworks, tools, and accelerators.
- Provide technical guidance on AI compliance, governance, and responsible AI deployment.
4. Stakeholder Collaboration
- Work closely with business leaders, solution architects, and engineering teams to translate requirements into actionable AI solutions.
- Assist in technical presentations, AI solution roadmaps, and RFP/RFI responses.
- Mentor junior AI engineers and architects in cloud AI design and MLOps practices.
Skills & Expertise
- Expertise in AI, ML, Generative AI, and AI system design.
- Hands-on experience with cloud platforms (Azure, AWS, Google Cloud).
- Knowledge of MLOps, AI compliance, AI governance, secure AI deployment, and responsible AI.
- Proficiency in APIs, microservices, and enterprise AI integration.
- Strong analytical, problem-solving, and emerging technology evaluation skills.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, AI/ML, or related fields.
- 10-16 years of relevant experience in AI architecture, cloud AI platforms, and enterprise AI solutions.
- Demonstrated experience in AI system implementation, MLOps, and secure cloud AI deployment.
Why Join TCS as an AI Architect
- Lead enterprise AI initiatives across top cloud platforms.
- Collaborate with global teams to deliver innovative AI/ML solutions.
- Gain exposure to Generative AI, MLOps pipelines, and emerging AI technologies.
- Influence AI strategy and governance practices within TCS.
Apply Now
Advance your career as an AI Architect – Azure/AWS/Google at TCS Chennai. Apply directly through the TCS Careers Portal and join a leading technology team driving enterprise AI innovation.